Relationship between individual styles of self-regulation of functional state and components of self-organization in the conditions of educational activities

the article discusses the results of a comparative analysis of individual styles of self-regulation of the functional state according to L.G. Dikaya and V.I. Shchedrov in a student group in 2020 and 2024, such as harmonious, costly, economical and cumulative. In 2020, the study group is dominated by students with optimal self-regulation styles, such as harmonious and cumulative, while in 2024, the leading group styles in the respondent group of students are non-optimal styles, such as costly and economical, which requires the development of recommendations for these students on conscious planning and organization of educational activities. The relationship between the studied self-regulation styles and the components of self-organization according to A.D. Ishkov, such as goal-setting, situation analysis, planning, self-control, volitional efforts and the general level of self-organization, was studied. In the course of the conducted research we established statistically reliable correlation relationships between the ergotropic indices, such as the total deviation from the autogenic norm and the vegetative coefficient, and the components of self-organization, on the other hand, which indicates the relationship between the physiological and personal levels in the formation of individual styles of mental state, implemented through the activity approach. The results of the one-factor analysis of variance based on the values of the Fisher F-criterion indicate that the variance between individual styles of self-regulation of the functional state in the responding students is significantly different from the intra-group variance, which indicates the presence of inter-level interactions between the psychophysiological and personal levels of human regulatory mechanisms.

individual styles of self-regulation of functional state, components of self-organization, systems approach, interlevel interactions, correlation relationships, dispersion analysis, students